4 days ago
Dublin, IrelandSenior
Responsibilities
- Collaborate with domain experts, data scientists, and stakeholders to translate business requirements into technical requirements.
- Build automated pipelines for data processing and the training, evaluation, and deployment of deep learning, LLM, and Agentic AI models.
- Design scalable infrastructure for model training and inference in cloud and on-premises environments.
- Set up monitoring and proactive countermeasures for model degradation.
- Support data privacy and healthcare-regulatory compliance during model development and deployment.
Requirements
- A master's degree or PhD in computer science, mathematics, or a related field, or a bachelor's degree with at least five years of experience.
- Experience creating engineering solutions supporting data ingestion, training, evaluation, and deployment across an AI/ML model lifecycle.
- Familiarity with a cloud provider, preferably AWS.
- Proficiency with large-scale data processing technologies such as Hadoop and Spark.
- Hands-on experience with scalable model deployment using tools such as Docker and Kubernetes.
- Ability to write maintainable and reusable code, use Git, perform unit and integration testing, and apply CI/CD concepts.
- Solid understanding of machine learning methods is preferred.
- Familiarity integrating LLMs and Agentic AI into real-world software solutions, such as through MCP, is preferred.
- Ability to work in interdisciplinary environments is preferred.
Benefits
- Hybrid work arrangement in Dublin, Ireland.
- Solventum offers programs supporting physical and financial well-being and provides competitive pay and benefits.
Tech Stack
Categories
About Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you.